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ENH update Scene Segmentation Tutorial using Proglearn on ISIC #542

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ENH update Scene Segmentation Tutorial using Proglearn on ISIC #542

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ee5bbc0
fixed typo line 81
amyvanee Apr 23, 2022
f3cccbd
Add files via upload
amyvanee Apr 24, 2022
d07ea4f
Update progressive_learner.py
amyvanee Apr 24, 2022
9dcab2b
refixed typo in line 81
amyvanee Apr 24, 2022
4e4b0c6
FIX update CircleCI version
PSSF23 Apr 24, 2022
923ce4c
black formatting
amyvanee Apr 24, 2022
0e349ca
visualize proglearn segmented images
amyvanee Apr 24, 2022
c364bc5
fixed typo
amyvanee Apr 24, 2022
145cb8c
fixed image cmap scheme
amyvanee Apr 24, 2022
df6509d
final touches on wording/organization
amyvanee Apr 24, 2022
5a519d6
changes of phrasing/organization
amyvanee Apr 24, 2022
fc40a6f
DOC fix typo
PSSF23 Apr 25, 2022
8d5ccb5
DOC fix typo
PSSF23 Apr 25, 2022
b737dc3
added multi-task learning
amyvanee Apr 29, 2022
2e008f1
added setup for multitask learning
amyvanee May 2, 2022
3a15ac4
black formatting
amyvanee May 2, 2022
81f2781
added fte, bte, te, acc results for multi-task
amyvanee May 5, 2022
903bca4
black formatting
amyvanee May 5, 2022
af90f8d
removed unnecessary lines
amyvanee May 5, 2022
4a2a095
added multitask learning with output graphs
amyvanee Jun 2, 2022
479fd0d
added a function to support new tutorial
amyvanee Jun 2, 2022
804c918
updated to allow for multidimensional input
amyvanee Jun 2, 2022
70fb091
fix for CircleCI check
amyvanee Jun 2, 2022
2fdd9dd
updated notebook
amyvanee Jun 2, 2022
64f70b1
updated comments
amyvanee Jun 2, 2022
d595180
restore old version
amyvanee Jun 2, 2022
c0714b2
fixed typo in the comments
amyvanee Jun 2, 2022
531309e
Update scene_segmentation_rf_isic_tutorial.ipynb
amyvanee Jun 2, 2022
5da98cb
fixed typo
amyvanee Jun 2, 2022
5a7e85c
fixed x-axis of multitask learning graphs
amyvanee Jun 4, 2022
c1c7e68
black formatting
amyvanee Jun 4, 2022
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12 changes: 6 additions & 6 deletions .circleci/config.yml
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ jobs:
steps:
- checkout
- restore_cache:
key: v2-<< parameters.version >>-min-dependency-cache-{{ checksum "dev-requirements.txt" }}
key: v3-<< parameters.version >>-min-dependency-cache-{{ checksum "dev-requirements.txt" }}
- run:
name: install python dependencies
command: |
Expand All @@ -22,7 +22,7 @@ jobs:
pip install --upgrade pip
pip install -r dev-requirements.txt
- save_cache:
key: v2-<< parameters.version >>-min-dependency-cache-{{ checksum "dev-requirements.txt" }}
key: v3-<< parameters.version >>-min-dependency-cache-{{ checksum "dev-requirements.txt" }}
paths:
- "venv"
- run:
Expand All @@ -45,7 +45,7 @@ jobs:
steps:
- checkout
- restore_cache:
key: v2-3.9-dependency-cache-{{ checksum "dev-requirements.txt" }}
key: v3-3.9-dependency-cache-{{ checksum "dev-requirements.txt" }}
- run:
name: install python dependencies
command: |
Expand All @@ -54,7 +54,7 @@ jobs:
pip install -r dev-requirements.txt
pip install -e .
- save_cache:
key: v2-3.9-dependency-cache-{{ checksum "dev-requirements.txt" }}
key: v3-3.9-dependency-cache-{{ checksum "dev-requirements.txt" }}
paths:
- "venv"
- run:
Expand Down Expand Up @@ -82,7 +82,7 @@ jobs:
steps:
- checkout
- restore_cache:
key: v2-3.9-dependency-cache-{{ checksum "dev-requirements.txt" }}
key: v3-3.9-dependency-cache-{{ checksum "dev-requirements.txt" }}
- run:
name: install python dependencies
command: |
Expand All @@ -91,7 +91,7 @@ jobs:
pip install -r dev-requirements.txt
pip install -e .
- save_cache:
key: v2-3.9-dependency-cache-{{ checksum "dev-requirements.txt" }}
key: v3-3.9-dependency-cache-{{ checksum "dev-requirements.txt" }}
paths:
- "venv"
- run:
Expand Down
229 changes: 189 additions & 40 deletions docs/tutorials/scene_segmentation_rf_isic_tutorial.ipynb
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2 changes: 1 addition & 1 deletion proglearn/progressive_learner.py
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Original file line number Diff line number Diff line change
Expand Up @@ -78,7 +78,7 @@ class ProgressiveLearner(BaseProgressiveLearner):
and values of type obj corresponding to a transformer. This dictionary thus
maps transformer ids to the corresponding transformers.

task_id_to_trasnformer_id_to_voters : dict
task_id_to_transformer_id_to_voters : dict
A nested dictionary with outer key of type obj, corresponding to task ids
inner key of type obj, corresponding to transformer ids,
and values of type obj, corresponding to a voter. This dictionary thus maps
Expand Down